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Nephele/PACTs: A Programming Model and Execution Framework for Web-Scale Analytical Processing
| Venue: | In SOCC’10 |
| Citations: | 91 - 14 self |
BibTeX
@INPROCEEDINGS{Battré_nephele/pacts:a,
author = {Dominic Battré and Stephan Ewen and Fabian Hueske and Odej Kao and Volker Markl and Daniel Warneke},
title = {Nephele/PACTs: A Programming Model and Execution Framework for Web-Scale Analytical Processing},
booktitle = {In SOCC’10},
year = {}
}
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Abstract
We present a parallel data processor centered around a programming model of so called Parallelization Contracts (PACTs) and the scalable parallel execution engine Nephele [18]. The PACT programming model is a generalization of the well-known map/reduce programming model, extending it with further second-order functions, aswellaswithOutput Contracts that give guarantees about the behavior of a function. We describe methods to transform a PACT program into a data flow for Nephele, which executes its sequential building blocks in parallel and deals with communication, synchronization and fault tolerance. Our definition of PACTs allows to apply several types of optimizations on the data flow during the transformation. Thesystemasawholeisdesignedtobeasgenericas(and compatible to) map/reduce systems, while overcoming several of their major weaknesses: 1) The functions map and reduce alone are not sufficient to express many data processing tasks both naturally and efficiently. 2) Map/reduce ties a program to a single fixed execution strategy, which is robust but highly suboptimal for many tasks. 3) Map/reduce makes no assumptions about the behavior of the functions. Hence, it offers only very limited optimization opportunities. With a set of examples and experiments, we illustrate how our system is able to naturally represent and efficiently execute several tasks that do not fit the map/reduce model well.
Keyphrases
web-scale analytical processing programming model execution framework nephele pact data flow aswellaswithoutput contract well-known map parallel data processor second-order function many data processing task pact program fault tolerance scalable parallel execution engine nephele called parallelization contract several task limited optimization opportunity several type sequential building block many task single fixed execution strategy major weakness function map
